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Robust optical and SAR image matching using attention-enhanced structural features
Y Ye, C Yang, G Gong, P Yang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Due to the complementary nature of optical and synthetic aperture radar (SAR) images, their
alignment is of increasing interest. However, due to the significant radiometric differences …
alignment is of increasing interest. However, due to the significant radiometric differences …
Local feature matching using deep learning: A survey
Local feature matching enjoys wide-ranging applications in the realm of computer vision,
encompassing domains such as image retrieval, 3D reconstruction, and object recognition …
encompassing domains such as image retrieval, 3D reconstruction, and object recognition …
Grid: Guided refinement for detector-free multimodal image matching
Multimodal image matching is essential in image stitching, image fusion, change detection,
and land cover map**. However, the severe nonlinear radiometric distortion (NRD) and …
and land cover map**. However, the severe nonlinear radiometric distortion (NRD) and …
Low-illumination color imaging: Progress and challenges
D Ding, F Shi, Y Li - Optics & Laser Technology, 2025 - Elsevier
Low-illumination color imaging technology aims to overcome the significant decline in
imaging performance of human eye under low-light conditions, playing a crucial role in …
imaging performance of human eye under low-light conditions, playing a crucial role in …
Optical and SAR images matching based on phase structure convolutional features
Y Liu, H Qi, S Peng - IEEE Geoscience and Remote Sensing …, 2023 - ieeexplore.ieee.org
High-precision image matching techniques are required to fully utilize complementary
information from optical and synthetic aperture radar (SAR) images. However, there are …
information from optical and synthetic aperture radar (SAR) images. However, there are …
[HTML][HTML] LPHOG: A Line Feature and Point Feature Combined Rotation Invariant Method for Heterologous Image Registration
J He, X Jiang, Z Hao, M Zhu, W Gao, S Liu - Remote Sensing, 2023 - mdpi.com
Remote sensing image registration has been a very important research topic, especially the
registration of heterologous images. In the research of the past few years, numerous …
registration of heterologous images. In the research of the past few years, numerous …
Reliable projection based unsupervised learning for semi-definite QCQP with application of beamforming optimization
In this paper, we investigate a special class of quadratic-constrained quadratic programming
(QCQP) with semi-definite constraints. Traditionally, since such a problem is non-convex …
(QCQP) with semi-definite constraints. Traditionally, since such a problem is non-convex …
CycleRegNet: A scale-aware and geometry-consistent cycle adversarial model for infrared and visible image registration
Infrared and visible image registration is a critical task in applications such as security
monitoring and surveillance, where precise alignment of images is essential for accurate …
monitoring and surveillance, where precise alignment of images is essential for accurate …
[HTML][HTML] A Siamese Network via Cross-Domain Robust Feature Decoupling for Multi-Source Remote Sensing Image Registration
Q Han, X Zhi, S Jiang, W Chen, Y Huang, L Yu… - Remote Sensing, 2025 - mdpi.com
Image registration is a prerequisite for many multi-source remote sensing image fusion
applications. However, due to differences in imaging factors such as sensor type, imaging …
applications. However, due to differences in imaging factors such as sensor type, imaging …
Coarse-to-Fine Learning for Planning CT Enhanced Limited-Angle CBCT Reconstruction
In the image-guided radiation therapy, the on-board cone-beam computed tomography
(CBCT) is usually used for volumetric imaging, and the limited-angle scanning protocol is …
(CBCT) is usually used for volumetric imaging, and the limited-angle scanning protocol is …